• Design, develop, test, and maintain Java-based applications and services
• Lead or support migration of applications from on-premises or legacy environments to AWS cloud
• Analyze existing systems and define migration strategies, including rehosting, replatforming, refactoring, or modernization
• Develop scalable, secure, and high-performance solutions using AWS services including EC2, S3, RDS, Lambda, ECS, EKS, IAM, CloudWatch, and CloudFormation
• Implement cloud-native and microservices-based architectures
• Integrate AI models or AI-enabled services for intelligent automation, analytics, or decision-making
• Collaborate with architects, engineers, analysts, and stakeholders to gather requirements and deliver technical solutions
• Troubleshoot application, infrastructure, and integration issues across development, testing, and production environments
• Optimize application performance, reliability, scalability, and security
• Write clean, maintainable, and well-documented code following engineering best practices
• Support CI/CD pipelines and DevOps practices for deployment and release management
• Participate in code reviews, design reviews, and technical planning sessions
• Mentor junior developers and contribute to team knowledge sharing
Requirements
- Bachelor’s degree in computer science, Information Systems, Engineering, or related field, with minimum 12 years of experience, or 8 years of experience with master’s degree
- Strong hands‑on experience in Java development, including object‑oriented design and enterprise application development
- Proven experience with AWS cloud migration projects
- Solid understanding of cloud architecture, deployment patterns, and AWS best practices
- Experience working with REST APIs, microservices, and distributed systems
- Familiarity with AI models, machine learning concepts, or AI‑powered application integration
- Experience with version control, CI/CD tools, and agile development practices
- Strong debugging, troubleshooting, and root cause analysis skills
- Excellent verbal and written communication skills
- Selected candidate must be able to obtain a Public Trust clearance
- Preferred: Experience with Spring Boot, Spring MVC, Hibernate, JPA, or Spring Cloud
- Preferred: Hands‑on experience with Docker and Kubernetes
- Preferred: Experience with infrastructure‑as‑code tools such as CloudFormation or Terraform
- Preferred: Experience with AI/ML platforms, model deployment, prompt engineering, or generative AI services
- Preferred: Knowledge of cloud security, IAM, encryption, and compliance requirements
- Preferred: Experience modernizing legacy monolithic applications into cloud‑native architectures
- Preferred: Familiarity with monitoring and observability tools such as CloudWatch, Splunk, or Datadog
Core Competencies
Demonstrates expertise in Java development and AWS cloud migration, with a strong focus on designing scalable, secure applications and implementing cloud‑native architectures. Proficient in integrating AI models and optimizing application performance while adhering to best practices in software development and DevOps.
Highest‑signal resume keywords
- Java Development
- AWS Cloud Migration
- Microservices Architecture
- CI/CD Practices
- AI Model Integration
ATS Optimization Keywords
Hard Skills
- Java
- AWS Services
- REST APIs
- Object‑Oriented Design
- Spring Boot
- Docker
- Kubernetes
- CloudFormation
- Agile Development
- Debugging
Soft Skills
- Communication
- Mentoring
- Collaboration
- Troubleshooting
- Root Cause Analysis
Certifications & Qualifications
Industry Keywords
- Cloud Architecture
- Microservices
- AI/ML
- Infrastructure‑as‑Code
- Compliance Requirements
Tools & Technologies
- EC2
- S3
- RDS
- Lambda
- ECS
- EKS
- IAM
- CloudWatch
- Terraform
- Splunk
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